DE-Analysis-Basic-Tutorial

This repository contains a very basic tutorial on performing differential expression analysis using the statistical programming language r. This tutorial is meant for anyone who is interested in learning r in order to do basic gene expression analyses using minimal lines of code.

Libraries used:

• DESeq2
• ggplot2
• pheatmap

Dataset used:

• Subset of GeneLab's GLDS-202 Dataset (Effect of Radiation and Microgravity on Brain Gene Expression [1 month treatment])

Plots made:

• MA-plot
• Volcano Plot
• Heatmap

Sample MA-plot:

Sample Heatmap plot: